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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Experience with image analysis Experience with coding and high-performance computing, for example in python, C, etc. Experience with polymer and/or block copolymer physics and/or chemistry Experience with
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? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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and Social Services Management, while hosting an MSocSc Programme in Comparative Social Policy (International) (IMCSP). We have been consistently successful in attracting MPhil and PhD students from
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development, model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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Scells) at the University of Tübingen invites applications for a position at the Institute for Applied Medical Informatics as a PhD researcher (f/m/d, E13 TV-L, 75%) available immediately to join our
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Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
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recent PhD in Chemistry, combining: • Strong theoretical and practical expertise in organic/organometallic synthesis (laboratory experience required). • Scientific curiosity for interdisciplinary
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that consolidate research findings Job Requirements: PhD qualification degree in Materials Science and Engineering or related field Familiarity with computational materials science and macrostructure analysis Good
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a